Elliot McClenaghan
Elliot McClenaghan is an epidemiologist and doctoral researcher at the London School of Hygiene and Tropical Medicine, where his work focuses on the analysis of real-world health data.
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Published Content
Total: 9
Article
Spearman Rank Correlation
In this article, we will explore the theory, assumptions and interpretation of Spearman’s rank correlation, a flexible statistical tool that assesses the strength and direction of the relationship between two quantitative, ranked variables.
Article
The Fisher’s Exact Test
In this article, we explore the theory, assumptions and interpretation of the Fisher’s exact test, used to investigate associations between two categorical, binary variables with small sample sizes, and take you through a worked example.
Article
An Introduction to Bayesian Statistics
Bayesian statistics has emerged as a powerful methodology for making decisions from data in the applied sciences. Bayesian brings a new way of thinking to statistics, in how it deals with probability, uncertainty and drawing inferences from an analysis.
Article
Post-Hoc Tests in Statistical Analysis
In this article, we review the function of post-hoc tests in statistical analysis, how to interpret them and when to use them (and not use them).
Article
The Wilcoxon Signed-Rank Test
The Wilcoxon signed rank test, which is also known as the Wilcoxon signed rank sum test and the Wilcoxon matched pairs test, is a non-parametric statistical test used to compare two dependent samples (in other words, two groups consisting of data points that are matched or paired). In this article, we explain how and when this test should be used.
Article
The Kruskal–Wallis Test
The Kruskal–Wallis test is a statistical test used to compare two or more groups for a continuous or discrete variable. It is a non-parametric test, meaning that it assumes no particular distribution of your data and is analogous to the one-way analysis of variance (ANOVA). The Kruskal–Wallis test is sometimes referred to as the one-way ANOVA on ranks, or the Kruskal–Wallis one-way ANOVA.
Article
The Chi-Squared Test
The chi-squared test, often written as χ2 test, is a statistical hypothesis test used in the analysis of categorical variables to determine whether observed data are different from expectations. In this article, we explore the basics of this important test.
Article
The Binomial Test
The Binomial test, sometimes referred to as the Binomial exact test, is a test used in sampling statistics to assess whether a proportion of a binary variable is equal to some hypothesized value.
Article
Mann-Whitney U Test: Assumptions and Example
The Mann-Whitney U Test, also known as the Wilcoxon Rank Sum Test, is a non-parametric statistical test used to compare two samples or groups. In this article, we explore the basics of the Test and work through an example.
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